Software Alternatives, Accelerators & Startups

GraphQL VS Stibo Systems MDM - STEP

Compare GraphQL VS Stibo Systems MDM - STEP and see what are their differences

GraphQL logo GraphQL

GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Stibo Systems MDM - STEP logo Stibo Systems MDM - STEP

Stibo Systems is the global leader in multi-domain Master Data Management (MDM) solutions.
  • GraphQL Landing page
    Landing page //
    2023-08-01
  • Stibo Systems MDM - STEP Landing page
    Landing page //
    2023-10-07

GraphQL videos

REST vs. GraphQL: Critical Look

More videos:

  • Review - REST vs GraphQL - What's the best kind of API?
  • Review - What Is GraphQL?

Stibo Systems MDM - STEP videos

No Stibo Systems MDM - STEP videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GraphQL and Stibo Systems MDM - STEP)
Developer Tools
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Javascript UI Libraries
100 100%
0% 0
Monitoring Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, GraphQL seems to be more popular. It has been mentiond 225 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GraphQL mentions (225)

  • Difference between GraphQL, REST, and gRPC
    On the other hand, GraphQL is a query language for APIs that was developed by Facebook. It allows clients to specify exactly what data they need, and the server responds with only that data. - Source: dev.to / 4 days ago
  • When It’s Time to Give REST a Rest
    In this article, I’ll show why GraphQL is the preferred approach over a RESTful API here, demonstrating how to deploy Apollo Server (and Apollo Explorer) to get up and running quickly with GraphQL. - Source: dev.to / 11 days ago
  • Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
    GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint. - Source: dev.to / about 1 month ago
  • Type-Safe Fetch with Next.js, Strapi, and OpenAPI
    When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much. - Source: dev.to / about 2 months ago
  • REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
    REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request. - Source: dev.to / about 2 months ago
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Stibo Systems MDM - STEP mentions (0)

We have not tracked any mentions of Stibo Systems MDM - STEP yet. Tracking of Stibo Systems MDM - STEP recommendations started around Mar 2021.

What are some alternatives?

When comparing GraphQL and Stibo Systems MDM - STEP, you can also consider the following products

gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery

Ataccama - We deliver Self-Driving Data Management & Governance with Ataccama ONE. It’s a fully integrated yet modular platform for any data, user, domain, or deployment.

Next.js - A small framework for server-rendered universal JavaScript apps

Boomi Master Data Hub - Boomi Master Data Hub is a cloud-native master data management platform that provides a single, secure, and trusted source of data for both IT and business professionals.

React - A JavaScript library for building user interfaces

SAP Master Data Governance (MDG) - SAP Master Data Governance (MDG) is a platform that enables organizations worldwide to enhance the consistency and quality of data.